Fluid velocity and mass ratio identification of piezoelectric nanotube conveying fluid using inverse analysis. (English) Zbl 1435.74021
Summary: In this paper, an inverse problem is developed to identify the fluid velocity and mass ratio of a piezoelectric nanotube conveying fluid flow. The natural frequencies of a piezoelectric nanotube are measured through a model-based approach and used to predict those unknown parameters. The numerical Levenberg-Marquardt and artificial neural network methods are employed as inverse tools for this purpose. The Eringen’s nonlocal elasticity theory with a combination of the Euler-Bernoulli beam theory is used to derive the governing equation of motion. The well-known Galerkin method is applied to extract the required natural frequencies. The presented inverse approaches are utilized for both noise-free and noisy data. The results show the high capability of the neural network approach in the identification of both fluid velocity and mass ratio of a piezoelectric nanotube, especially for noisy data.
MSC:
| 74F10 | Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) |
| 76M21 | Inverse problems in fluid mechanics |
| 74M25 | Micromechanics of solids |
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